PLM embeddings fine-tuned using contrastive learning outperform other representations in drug-target interaction prediction

Summary

A Contrastive learning approach with pretrained ProtBERT embeddings and Morgan fingerprints outperformed state-of-the-art methods on drug-target interaction prediction (1).

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Ref (1)

Singh R, Sledzieski S, Bryson B, Cowen L, Berger B. Contrastive learning in protein language space predicts interactions between drugs and protein targets. Proceedings of the National Academy of Sciences. 2023;120(24). Available from: https://doi.org/10.1073/pnas.2220778120

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PLM embeddings fine-tuned using contrastive learning outperform other representations in drug-target interaction prediction

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